Evaluation of physiological markers for assessing drought tolerance and yield potential in bread wheat

Abstract

Carbon isotope discrimination (D) has been recognized as a valuable phenotyping tool in wheat breeding. However, technical expertise and analysis cost restrict its large-scale use. We examined the associations of ash content (AC), minerals content (Ca, K, Mg, Fe and Mn) and leaf chlorophyll content (Chl) with grain D and grain yield (GY) to assess their potential as substitute to grain D. We evaluated 49 wheat genotypes under two water deficit regimes (W 120 and W 200 ) in a rain-out shelter. Leaf chlorophyll content (Chl) was strongly correlated with grain D and GY under moderate water deficit regime (W 200 ). Significant and negative correlations (P \ 0.01) of AC and potassium concentration (K) with grain D, and between AC and GY was observed under both water regimes, while manganese concentration (Mn) was negatively correlated with grain D under W 120 regime only and magnesium concentration (Mg) correlated negatively under the W 200 regime only. Grain D was correlated (P \ 0.01) positively with photosynthesis rate (A), stomatal conductance (g s ) and GY, while correlated negatively (P \ 0.01) with intrinsic water use efficiency (iWUE) under both water regimes. Results confirm the role of grain D as an indirect selection criterion for drought tolerance under a wide range of drought conditions. Additionally, Chl is the most suitable trait to predict yield under moderate water deficit conditions. AC and K concentration in grain proved potentially useful and economical alternative criterion to grain D in the evaluation of differences in yield potential and drought tolerance in wheat under drought.

Evaluation of Fourteen Bread Wheat (Triticum aestivum L.) Genotypes by Observing Gas Exchange Parameters, Relative Water and Chlorophyll Content, and Yield Attributes under Drought Stress

“…The significant and positive correlations between Pn, gs, and E under all treatments (Tables 8 and 9) explain that the higher gs under normal water conditions than under severe stress condition might improve the access of CO 2 into the chloroplast and resulted in more Pn and E. Regardless of the dynamics of stomatal conductance, all three parameters are strongly correlated with each other, and this can be observed in our findings (Tables 8 and 9). These results are also consistent with the findings in wheat [52], rice [53], and peanut [54].…”

Evaluation of Drought Tolerance of Some Wheat (Triticum aestivum L.) Genotypes through Phenology, Growth, and Physiological Indices

“…The highest grain yield in BAW 1169 and BAW 1158 under DS in this study may be related to less reduction of life span (Table 5), RWC (Table 6), total Chl (Table 7), CTD (Table 8), SDM (Figure 1) and increasing proline (Table 9), as supported by many researchers [86,88,102,103]. The yield variation under DS can be attributed to the diverse genetic background among the genotypes [103][104][105], and activated genes in response to drought exhibited variation in their expression [106].…”

Analysis of the treatment regimen efficacy for columnaris disease in Pterophyllum scalare

“…In our experiments, the microbiological preparations significantly induced the growth of leaf area of barley plants. Average daily increments, quantity of leaves, leaf area, intensity of photosynthesis and the content of chlorophyll, -all these indicators allow one to judge on the intensity of photosynthesis of plants in particular agroclimatic conditions (Yeryashev et al, 2017;Yevdokimova & Mar'ina-Chermnykh, 2018;Yasir et al, 2019). In our case, PPP of the experimental and control plants were characterized by similar accumulation of dry matter per unit of the leaf area after treatment with Naturost and somewhat more intensively for the plants processed with Naturos-Aktiv preparations.…”

“…Therefore, practically similar content of pigments in the biomaterial of the experimental and control plants against the background of increase in the rates of accumulation of the biomass indicate the intensification of the work of photosynthetic units in the experimental plants. At the same time, any changes in physiological processes in the plants, including at the early stages of ontogenesis (tillering, booting), affect the grain productivity (Yasir et al, 2019;Pavlovskaya et al, 2019). This correlates well with the results of our study.…”